[Crib-list] TODAY: Speakers: MIRIAM LEESER and STRATIS IOANNIDIS (Northeastern Univ.) | CRIBB Seminar | Friday, October 6, 2017 | TIME: 12:00 PM - 1:00 PM | STATA - Building 32, Room D463 (fwd)

[daisymae]

        T O D A Y. . .


		   COMPUTATIONAL RESEARCH in BOSTON and BEYOND SEMINAR


DATE:		Friday, OCTOBER 6, 2017
TIME:		12:00 PM  1:00 PM
LOCATION:	Building 32, Room D463  (Note location)

		STATA
		32 Vassar Street, Cambridge

     Pizza and beverages will be provided at 11:45 AM outside Room 
32-D463.



TITLE:		Practical, Secure Function Evaluation at Scale


SPEAKERS:	MIRIAM LEESER and STRATIS IOANNIDIS (Northeastern Univ.)



ABSTRACT:

Secure Function Evaluation (SFE) allows an interested party to evaluate 
a
function over private data without learning anything about the inputs 
other than
the outcome of this computation.  This offers a strong privacy 
guarantee: SFE
enables, e.g., a medical researcher, a statistician, or a data analyst, 
to
conduct a study over private, sensitive data, without jeopardizing the 
privacy
of the study's participants (patients, online users, etc.). 
Nevertheless,
applying SFE to big data poses several challenges.  First, beyond any
computational overheads due to encryptions, executing an algorithm 
securely may
lead to a polynomial blowup in the total work compared to execution in 
the
clear.  Second, secure evaluations of algorithms should maintain
parallelizability: an algorithm that is easy to parallelize in the clear 
should
also maintain this property in its SFE version, if its execution is to 
scale.

In this talk, we describe Garbled Circuits (GCs), a technique for 
implementing
SFE that can be applied to any problem that can be described as a 
Boolean
circuit.  We then describe recent advances in the parallel execution of 
GCs for
several machine learning algorithms such as page rank, matrix 
factorization, and
training neural networks.  We address issues of scalability both by 
running GCs
on clusters of machines as well as applying FPGAs in the datacenter to
accelerate the processing.


BIOS:

Miriam Leeser is Professor and Interim Chair of Electrical and Computer
Engineering at Northeastern University.  Her research interests include
application acceleration with Field Programmable Gate Arrays (FPGAs) and
Graphics Processing Units (GPUs), programming paradigms for 
heterogeneous
computers, computer arithmetic and reproducibility in higher performance
computing. She received her BS degree in Electrical Engineering from 
Cornell
University, and Diploma and Ph.D. Degrees in Computer Science from 
Cambridge
University in England.  After completion of her Ph.D., she joined the 
faculty of
Cornell University, Department of Electrical Engineering.  In January, 
1996 she
joined the faculty of Northeastern University, where she is head of the
Reconfigurable and GPU Computing Laboratory and a member of the Computer
Engineering group.  She is a senior member of ACM, a senior member of 
IEEE and a
senior member of SWE.

Stratis Ioannidis is an assistant professor in the Electrical and 
Computer
Engineering Department of Northeastern University, in Boston, MA, where 
he also
holds a courtesy appointment with the College of Computer and 
Information
Science. He received his B.Sc. (2002) in Electrical and Computer 
Engineering
from the National Technical University of Athens, Greece, and his M.Sc. 
(2004)
and Ph.D. (2009) in Computer Science from the University of Toronto, 
Canada.
Prior to joining Northeastern, he was a research scientist at the 
Technicolor
research centers in Paris, France, and Palo Alto, CA, as well as at 
Yahoo Labs
in Sunnyvale, CA.


===================================================================

Massachusetts Institute of Technology
Cambridge, MA


For information about the Computational Research in Boston and Beyond 
Seminar,
please visit...

			http://math.mit.edu/crib/



===
Shirley A. Entzminger
Administrative Assistant II
Department of Mathematics
Massachusetts Institute of Technology
77 Massachusetts Avenue
Building 2, Room 350A
Cambridge, MA 02139
PHONE:	(617) 253-4347
FAX:	(617) 253-4358
E-mail:	daisymae at math.mit.edu
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